TWI700606B - Method, device and computer equipment for identifying authenticity of evidence based on blockchain deposit - Google Patents
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Abstract
公開了一種基於區塊鏈存證的識別證據真實性的方法及裝置。對目標電子證據進行識別，當確定目標電子證據已經被至少一個備選區塊鏈存證平臺存證時，對目標電子證據給出較高的真實性參考評分，當確定目標電子證據未被至少一個備選區塊鏈存證平臺存證時，對目標電子證據給出較低的真實性參考評分。目標電子證據對應的真實性參考評分較高，說明識別出的目標電子證據的真實程度(真實的可能性)較高，被篡改的可能性較低。 A method and device for identifying the authenticity of evidence based on blockchain deposits are disclosed. Identify the target electronic evidence. When it is determined that the target electronic evidence has been certified by at least one candidate blockchain deposit platform, the target electronic evidence is given a higher authenticity reference score. When it is determined that the target electronic evidence has not been at least When an alternative blockchain storage platform provides evidence, it gives a lower reference score for the authenticity of the target electronic evidence. The higher authenticity reference score corresponding to the target electronic evidence indicates that the identified target electronic evidence has a higher degree of authenticity (possibility of authenticity) and a lower probability of being tampered with.
Description
本說明書實施例關於資訊技術領域，尤其關於一種基於區塊鏈存證的識別證據真實性的方法及裝置。 The embodiments of this specification relate to the field of information technology, and particularly relate to a method and device for identifying the authenticity of evidence based on blockchain deposit.
目前，對於司法人員(如法官、檢察官)而言，審查案件相關人提交的電子證據(可以是以電子形式產生的證據，也可以是實物證據的電子形式)是否真實未篡改，並不容易。有時，司法人員會誤將已被篡改的電子證據認定為真實的電子證據。 At present, it is not easy for judicial personnel (such as judges and prosecutors) to examine whether the electronic evidence submitted by relevant persons in the case (either in electronic form or in electronic form of physical evidence) is true and unaltered. . Sometimes, judicial personnel mistakenly identify electronic evidence that has been tampered with as true electronic evidence.
基於此，需要一種識別證據真實性的方法，以降低司法人員審查電子證據真實性的難度。 Based on this, a method for identifying the authenticity of evidence is needed to reduce the difficulty for judicial personnel to review the authenticity of electronic evidence.
為了解決司法人員審查電子證據真實性的難度較高的問題，本說明書實施例提供一種基於區塊鏈存證的識別證據真實性的方法及裝置，技術方案如下：根據本說明書實施例的第1態樣，提供一種基於區塊鏈存證的識別證據真實性的方法，包括：針對目標電子證據，判斷所述目標電子證據是否已被 至少一個備選區塊鏈存證平臺存證；若確定所述目標電子證據已被至少一個備選區塊鏈存證平臺存證，則確定第一評分，作為所述目標電子證據對應的真實性參考評分；若確定所述目標電子證據未被至少一個備選區塊鏈存證平臺存證，則確定第二評分，作為所述目標電子證據對應的真實性參考評分；其中，所述目標電子證據對應的真實性參考評分與識別出的所述目標電子證據的真實程度正相關，所述第一評分大於所述第二評分。 In order to solve the problem that it is relatively difficult for judicial personnel to review the authenticity of electronic evidence, the embodiments of this specification provide a method and device for identifying the authenticity of evidence based on blockchain deposits. The technical solutions are as follows: According to the first of the embodiments of this specification In this way, a method for identifying the authenticity of evidence based on blockchain deposits is provided, including: for the target electronic evidence, determining whether the target electronic evidence has been At least one candidate blockchain certification platform has the certificate; if it is determined that the target electronic evidence has been certified by at least one candidate blockchain certification platform, the first score is determined as the authenticity corresponding to the target electronic evidence Reference score; if it is determined that the target electronic evidence has not been certified by at least one candidate blockchain certification platform, a second score is determined as the authenticity reference score corresponding to the target electronic evidence; wherein, the target The authenticity reference score corresponding to the electronic evidence is positively correlated with the authenticity of the identified target electronic evidence, and the first score is greater than the second score.
根據本說明書實施例的第2態樣，提供一種基於區塊鏈存證的識別證據真實性的裝置，包括：判斷模組，針對目標電子證據，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證；第一處理模組，若所述判斷模組確定所述目標電子證據已被至少一個備選區塊鏈存證平臺存證，則確定第一評分，作為所述目標電子證據對應的真實性參考評分；第二處理模組，若所述判斷模組確定所述目標電子證據未被至少一個備選區塊鏈存證平臺存證，則確定第二評分，作為所述目標電子證據對應的真實性參考評分；其中，所述目標電子證據對應的真實性參考評分與識別出的所述目標電子證據的真實程度正相關，所述第一評分大於所述第二評分。 According to the second aspect of the embodiment of the present specification, there is provided a device for identifying the authenticity of evidence based on blockchain deposits, including: a judgment module for determining whether the target electronic evidence has been prepared by at least one Choose a blockchain certificate deposit platform to deposit the certificate; the first processing module, if the judgment module determines that the target electronic evidence has been deposited by at least one candidate blockchain deposit platform, then the first score is determined as The authenticity reference score corresponding to the target electronic evidence; the second processing module determines a second score if the judgment module determines that the target electronic evidence has not been certified by at least one candidate blockchain storage platform , As the authenticity reference score corresponding to the target electronic evidence; wherein the authenticity reference score corresponding to the target electronic evidence is positively correlated with the authenticity of the identified target electronic evidence, and the first score is greater than the Second score.
本說明書實施例所提供的技術方案，對目標電子證據進行識別，當確定目標電子證據已經被至少一個備選區塊鏈存證平臺存證時，對目標電子證據給出較高的真實性參考評分，當確定目標電子證據未被至少一個備選區塊鏈存證平臺存證時，對目標電子證據給出較低的真實性參考評分。目標電子證據對應的真實性參考評分較高，說明識別出的目標電子證據的真實程度(真實的可能性)較高，被篡改的可能性較低。已被區塊鏈存證平臺存證的電子證據往往具有不可篡改的特性，而電子證據對應的真實性參考評分是根據電子證據是否已被區塊鏈存證平臺存證作出的，如此，以電子證據對應的真實性參考評分為參考，可以顯著降低司法人員審查電子證據真實性的難度。 應當理解的是，以上的一般描述和後文的細節描述僅是示例性和解釋性的，並不能限制本說明書實施例。 此外，本說明書實施例中的任一實施例並不需要達到上述的全部效果。The technical solutions provided in the embodiments of this specification identify the target electronic evidence, and when it is determined that the target electronic evidence has been certified by at least one candidate blockchain storage platform, it gives a higher authenticity reference to the target electronic evidence Scoring, when it is determined that the target electronic evidence has not been certified by at least one candidate blockchain deposit platform, a lower authenticity reference score is given to the target electronic evidence. The higher authenticity reference score corresponding to the target electronic evidence indicates that the identified target electronic evidence has a higher degree of authenticity (possibility of authenticity) and a lower probability of being tampered with. The electronic evidence that has been certified by the blockchain certification platform often has the characteristics of immutability, and the authenticity reference score corresponding to the electronic evidence is based on whether the electronic evidence has been certified by the blockchain certification platform. The authenticity reference score corresponding to the electronic evidence is used as a reference, which can significantly reduce the difficulty for judicial personnel to review the authenticity of the electronic evidence. It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and cannot limit the embodiments of this specification. In addition, any embodiment in the embodiments of this specification does not need to achieve all the above-mentioned effects.
為了使本領域技術人員更好地理解本說明書實施例中的技術方案，下面將結合本說明書實施例中的附圖，對本說明書實施例中的技術方案進行詳細地描述，顯然，所描述的實施例僅僅是本說明書的一部分實施例，而不是全部的實施例。基於本說明書中的實施例，本領域普通技術人員所獲得的所有其他實施例，都應當屬保護的範圍。
以下結合附圖，詳細說明本說明書各實施例提供的技術方案。
圖1是本說明書實施例提供的一種基於區塊鏈存證的識別證據真實性的方法的流程示意圖，包括以下步驟：
S100：針對目標電子證據，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證，若確定所述目標電子證據已被至少一個備選區塊鏈存證平臺存證，則執行步驟S102，若確定所述目標電子證據未被至少一個備選區塊鏈存證平臺存證，則執行步驟S104。
本方法的執行主體可以是有需要對電子證據的真實性進行識別的主體(如法院)所管理的設備(本文稱之為識別設備)。更具體的，在實踐中，所述識別設備可以是法院的案件線上受理系統，案件線上受理系統線上受理案件，並對與案件相關的電子證據的真實性進行識別，將識別結果(電子證據對應的真實性參考評分)提供給法官，以供法官參考。
需要說明的是，本文所述的電子證據可以是以電子形式產生的證據(如網頁)，也可以實物證據的電子形式(如借條的照片)。還需要說明的是，目標電子證據是指真實性待識別的電子證據，其可以是案件的原告提出的證據，也可以是案件被原告提出的證據，還可以是案件的其他相關人(如調查人員、如案件利益相關人)提出的電子證據。
在本說明書實施例中，區塊鏈存證平臺是基於區塊鏈技術，對用戶上傳的資料進行存證的服務機構。用戶可以利用區塊鏈存證平臺，將需要保全的電子證據存證。通常，區塊鏈存證平臺是透過區塊鏈網路中的交易這種資料結構來實現對電子證據的存證的。
需要說明的是，在本說明書中所描述的交易(
transaction)，是指用戶透過區塊鏈的用戶端創建，並需要最終發佈至區塊鏈的分布式資料庫中的一筆資料。也就是說，區塊鏈中的交易，存在狹義的交易以及廣義的交易之分。狹義的交易是指用戶向區塊鏈發佈的一筆價值轉移；例如，在傳統的比特幣區塊鏈網路中，交易可以是用戶在區塊鏈中發起的一筆轉帳。而廣義的交易是指用戶向區塊鏈發佈的一筆具有業務意圖的業務資料；例如，營運方可以基於實際的業務需求搭建一個聯盟鏈，依託於聯盟鏈部署一些與價值轉移無關的其它類型的線上業務(例如，租房業務、車輛調度業務、保險理賠業務、信用服務、醫療服務等)，而在這類聯盟鏈中，交易可以是用戶在聯盟鏈中發佈的一筆具有業務意圖的業務訊息或者業務請求。
具體而言，區塊鏈存證平臺可以作為區塊鏈網路中的一個節點，當接收到用戶上傳的電子證據時，可以構建一個交易包含該電子證據的證據雜湊(當然，也可以包含該電子證據本身)的交易，並將構建的交易廣播至區塊鏈網路，使得各節點後續基於共識機制，將該交易存入自身的區塊鏈，如此，就實現了電子證據的多方存證。其中，當交易僅包含電子證據的證據雜湊時，由於電子證據的證據雜湊已經被發佈至區塊鏈，因此，倘若電子證據被篡改，篡改後的電子證據的證據雜湊就會與區塊鏈中已發佈的證據雜湊不一致，因此，電子證據的證據雜湊被發佈至區塊鏈，就相當於電子證據被多方存證。還需要說明的是，當交易僅包含電子證據的證據雜湊時，區塊鏈存證平臺一般會將電子證據另行儲存於資料倉庫(非區塊鏈)。
此外，所述區塊鏈存證平臺也可以依託於公證通(factom)架構，為用戶提供電子證據存證服務。
在本說明書實施例中，可以指定市面上的若干區塊鏈存證平臺為備選區塊鏈存證平臺。例如，法院可以從市面上的區塊鏈存證平臺中，選擇若干區塊鏈存證平臺作為備選區塊鏈存證平臺，並與各備選區塊鏈存證平臺建立合作關係，法院的案件線上受理系統可以與各備選區塊鏈存證平臺的伺服器進行對接。
在本說明書實施例中，識別設備判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證的方式至少包括以下四種：
1、獲取用戶上傳的目標電子證據；針對每個備選區塊鏈存證平臺，向該備選區塊鏈存證平臺進行查詢，以確定該備選區塊鏈存證平臺存證的任一交易中是否包含所述目標電子證據；若是，則確定所述目標電子證據已被該備選區塊鏈存證平臺存證；否則，確定所述目標電子證據未被該備選區塊鏈存證平臺存證。其中，上傳目標電子證據的用戶可以是案件的原告、被告或其他案件相關人員。
2、獲取用戶上傳的目標電子證據；根據所述目標電子證據，計算所述目標電子證據的證據雜湊；針對每個備選區塊鏈存證平臺，根據所述證據雜湊，向該備選區塊鏈存證平臺進行查詢，以確定該備選區塊鏈存證平臺存證的任一交易中是否包含所述證據雜湊；若是，則確定所述目標電子證據已被該備選區塊鏈存證平臺存證；否則，確定所述目標電子證據未被該備選區塊鏈存證平臺存證。其中，上傳目標電子證據的用戶可以是案件的原告、被告或其他案件相關人員。
在方式1和2中，用戶需要將目標電子證據上傳給識別設備，如果目標電子證據是以證據雜湊的形式進行間接存證的，那麼，識別設備可以計算電子證據的證據雜湊，並以計算得到的證據雜湊為線索，向各備選區塊鏈存證平臺進行驗證，以判斷所述目標電子證據是否真的被至少一個備選區塊鏈存證平臺存證；如果目標電子證據是直接進行存證的，那麼識別設備可以直接向各備選區塊鏈存證平臺驗證所述目標電子證據是否已經被發佈至區塊鏈。
3、獲取用戶上傳的目標交易雜湊；針對每個備選區塊鏈存證平臺，根據所述交易雜湊，向該備選區塊鏈存證平臺進行查詢，以判斷該備選區塊鏈存證平臺記錄的交易中，是否存在交易雜湊為所述目標交易雜湊的交易；若存在，則以交易雜湊為所述目標交易雜湊的交易為目標交易，將透過所述目標交易存證的電子證據確定為目標電子證據，以及，確定所述目標電子證據已被該備選區塊鏈存證平臺存證；若不存在，則確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
其中，上傳目標交易雜湊的用戶可以是案件的原告、被告或其他案件相關人員。目標交易雜湊是目標交易的交易雜湊，而目標交易是包含有目標電子證據的證據雜湊的交易。
在方式3中，用戶向識別設備上傳目標交易雜湊即可，而不必上傳目標電子證據。識別設備根據目標交易雜湊，在各備選區塊鏈存證平臺查詢目標交易雜湊對應的目標交易，如果無法查詢到目標交易，就認定目標交易雜湊無效，進而說明目標電子證據並未被至少一個備選區塊鏈存證平臺存證；如果查詢到目標交易，那麼透過目標交易存證的電子證據就是目標電子證據。
進一步地，如果區塊鏈儲存的目標交易中包含有所述目標電子證據本身，則可以直接從目標交易中提取所述目標電子證據；如果區塊鏈儲存的目標交易中包含有所述目標電子證據的證據雜湊，則可以以所述證據雜湊為線索，從其他途徑(例如資料倉庫)。
4、獲取用戶上傳的目標電子證據和目標交易雜湊；針對每個備選區塊鏈存證平臺，根據所述目標交易雜湊，向該備選區塊鏈存證平臺進行查詢，以判斷該備選區塊鏈存證平臺記錄的交易中，是否存在交易雜湊為所述目標交易雜湊的交易；若存在，則以交易雜湊為所述目標交易雜湊的交易為目標交易，判斷透過所述目標交易存證的電子證據與所述目標電子證據是否相同，如果是，那麼確定所述目標電子證據已被該備選區塊鏈存證平臺存證，如果否，那麼確定所述目標電子證據未被該備選區塊鏈存證平臺存證；若不存在，則確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
在方式4中，用戶可以向識別設備上傳目標電子證據和目標交易雜湊。其中，如前所述，目標電子證據是透過目標交易這一資料結構被發佈至區塊鏈的，目標交易可以包含電子證據本身，也可以僅包含目標電子證據的證據雜湊。基於此，在方式4中，判斷透過所述目標交易存證的電子證據與所述目標電子證據是否相同，具體可以計算透過所述目標交易存證的電子證據的證據雜湊，以及計算所述目標電子證據的證據雜湊，比較計算得到的兩個證據雜湊是否一致，如果一致，才能認定所述目標電子證據已被該備選區塊鏈存證平臺存證。
總之，在步驟S100中，識別設備可以採用多種方式，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證，並據此識別出所述目標電子證據的真實程度(即真實可能性)的高低。
如果所述目標電子證據沒有被任何一個備選區塊鏈存證平臺存證，那麼就意味著，所述目標電子證據的真實程度是未知存疑的，有可能已被篡改；如果所述目標電子證據已經被至少一個備選區塊鏈存證平臺存證，那麼就意味著，所述目標電子證據的真實程度是較高的，被篡改的可能性較低。
S102：確定第一評分，作為所述目標電子證據對應的真實性參考評分。
S104：確定第二評分，作為所述目標電子證據對應的真實性參考評分。
在本說明書實施例中，引入真實性參考評分的概念，來量化電子證據的真實程度，識別設備識別出的目標電子證據的真實程度越高，相應地，針對目標電子證據給出的真實性參考評分也就越高。具體地，真實性參考評分可以是百分制，假設所述目標電子證據對應的真實性參考評分為90，那麼意味著所述識別設備認定所述目標電子證據真實未被篡改的機率達到90%。
如果所述目標電子證據沒有被任何一個備選區塊鏈存證平臺存證，那麼就針對目標電子證據給出較高的真實性參考評分(即第一評分)，如果所述目標電子證據已經被至少一個備選區塊鏈存證平臺存證，那麼就針對目標電子證據給出較低的真實性參考評分(即第二評分)。也就是說，第一評分大於第二評分。
透過圖1所示的方法，目標電子證據對應的真實性參考評分較高，說明識別出的目標電子證據的真實程度(真實的可能性)較高，被篡改的可能性較低。已被區塊鏈存證平臺存證的電子證據往往具有不可篡改的特性，而電子證據對應的真實性參考評分是根據電子證據是否已被區塊鏈存證平臺存證作出的，如此，以電子證據對應的真實性參考評分為參考，可以顯著降低司法人員審查電子證據真實性的難度。
此外，在本說明書實施例中，可以設若干類別，並針對每個類別，設置對應於該類別的評分規則。可以根據電子證據關於的案件類型的不同，設置相應的類別，如以下類別：1、網路著作權案件-發行權；2、刑事案件-詐騙；3、合約糾紛案件-違約。
也可以根據證據種類的不同設置類別，如以下類別：1、視聽證據-網頁截圖；2、文字證據-word文件。
還可以根據電子證據涉及的案件類型的不同以及證據種類的不同，設置類別，如以下類別：1、(網路著作權案件-發行權，視聽證據-網頁截圖)；2、(刑事案件-詐騙，文字證據-word文件)。
於是，在步驟S102中，可以確定所述目標電子證據從屬的類別，作為目標類別；根據所述目標類別對應的評分規則，確定第一評分。在步驟S104中，可以確定所述目標電子證據從屬的類別，作為目標類別；根據所述目標類別對應的評分規則，確定第二評分。
不同的類別的評分規則不同，這意味著，哪怕是同一個電子證據，該電子證據從屬不同的類別，得到的真實性參考評分也可能不同。例如，有類別：1、網路著作權案件-發行權；2、刑事案件-詐騙；其中，類別1對應的評分規則較為寬鬆，類別2對應的評分規則較為嚴格，假設所述目標電子證據是一段錄音，已經被存證於某個備選區塊鏈存證平臺，若將這段錄音歸於類別1，則這段錄音得到的真實性參考評分可能為99分，若將這段錄音歸於類別2，則這段錄音得到的真實性參考評分可能為80分。
進一步地，還可以預先針對每個類別，設置對應於該類別的若干分數區間，並針對對應於該類別的每個分數區間，設置對應於該分數區間的真實性參考等級；針對任意兩個分數區間，左端點值(也可以是右端點值)較大的分數區間對應的真實性參考等級較高，即左端點值較大的分數區間對應的真實性參考等級高於左端點值較小的分數區間對應的真實性參考等級。通常，各分數區間並無重合部分。例如，假設真實性參考評分為百分制，那麼針對某個類別，可以將[0,100]拆分為若干分數區間，即[0,40)、[40,80)、[80,100]，作為該類別對應的分數區間。接著，在針對該類別對應的每個分數區間，設置相應的真實性參考等級，例如，[0,40)對應的真實性等級為等級1，[40,80)為等級2，[80,100]對應的真實性等級為等級3。
基於此，在得到所述目標電子證據對應的真實性參考評分之後，可以確定所述目標電子證據從屬的證據類別，作為目標證據類別；接著在所述目標類別對應的分數區間中，確定所述目標電子證據對應的真實性參考評分所落入的分數區間，作為目標分數區間；將所述目標分數區間對應的真實性參考等級，確定為所述目標電子證據對應的真實性參考等級。
更進一步地，在本說明書實施例中，還可以根據司法程序中最終對電子證據的真實性的認定結果，調整某個類別對應的評分規則和/或分數區間。
具體地，針對任一類別，針對從屬該類別的每個電子證據，獲取該電子證據對應的真實性可信等級；該電子證據對應的真實性可信等級是透過司法程序認定的；在從屬該類別的電子證據中，篩選出真實性參考等級與真實性可信等級不一致的電子證據，作為指定電子證據；若指定電子證據占從屬該類別的電子證據的比例大於指定比例，則根據每個指定電子證據對應的真實性可信等級，調整該類別對應的評分規則和/或分數區間，以便針對每個指定電子證據，根據調整後的該類別對應的評分規則和/或分數區間得到的該指定電子證據對應的真實性參考等級，與該指定電子證據對應的真實性可信等級一致。
例如，案件線上受理系統運行一段時間後，相繼針對從屬類別1的100個電子證據進行了真實性識別，並得到這100個電子證據分別對應的真實性參考等級。這100個電子證據相繼被提交給法庭後，法庭透過司法程序認定了這100個電子證據分別對應的真實性可信等級，其中，真實性參考等級與真實性可信等級不一致的電子證據(指定電子證據)有25個，所占比例為25%，大於20%(指定比例)，那麼，案件線上受理系統可以據此調整類別1對應的評分規則，和/或分數區間，使得針對每個指定電子證據，根據調整後的評分規則和/或分數區間，得到的該指定電子證據對應的真實性參考等級，與該指定電子證據對應的真實性可信等級一致。
此外，在本說明書實施例中，若確定所述目標電子證據未被任一備選區塊鏈存證平臺存證，則可以進一步判斷所述目標電子證據是否已被用戶指定的非備選區塊鏈存證平臺存證，若是，則確定所述目標電子證據對應的第三評分，作為所述目標電子證據對應的真實性參考評分，否則，確定所述目標電子證據對應的第二評分，作為所述目標電子證據對應的真實性參考評分。其中，所述第三評分大於所述第二評分，並且所述第三評分小於所述第一評分。
也就是說，倘若所述目標電子證據雖然未被任一備選區塊鏈存證平臺存證，但是，已被某個非備選區塊鏈存證平臺(未預先與識別設備對接)存證，那麼，所述目標電子證據的真實性可以得到一定程度的承認。
進一步地，在步驟S104中，可以將指定分數確定為第二評分，也可以當確定滿足指定條件時，將大於所述指定分數的分數確定為第二評分。
其中，確定滿足指定條件，具體是指：針對每個備選區塊鏈存證平臺，確定該備選區塊鏈平臺存證的電子證據中，與所述目標電子證據最相似的電子證據，作為所述目標電子證據對應的相似電子證據；計算所述目標電子證據與所述相似電子證據的相似度，作為所述目標電子證據對應的相似度；所述目標電子證據對應的相似度越大，所述目標電子證據與所述相似電子證據越相似；從所述目標電子證據對應的各相似度中，選擇最大的相似度，作為最大相似度；若所述最大相似度大於指定相似度，則確定滿足指定條件。
此處需要說明的是，在實踐中，有時用戶上傳給區塊鏈存證平臺進行存證的電子證據的版本是原始版本(稱為原始電子證據)，而後，用戶提供給識別設備的電子證據時最新版本(最新電子證據)，原始電子證據與最新電子證據往往很相似，卻又存在一定差異，導致識別設備進行驗證對最新電子證據的真實性進行識別時，會認定最新電子證據並沒有被任一備選區塊鏈存證平臺存證。為了避免這種情況，倘若目標電子證據雖然未被任一備選區塊鏈存證平臺存證，但是與已經被存證的某個電子證據很相似，可以將目標電子證據對應的真實性參考評分確定為一個較高的分數(但應小於第一評分)。
圖2是本說明書實施例提供的一種基於區塊鏈存證的識別雙方證據真實性的方法，包括如下步驟：
S200：接收案件的原告上傳的案件事件資訊。
S202：透過目標流程，確定起訴證據對應的真實性參考評分。
S204：將所述案件事件資訊和所述起訴證據發送給案件的被告。
S206：當確定存在應訴證據時，透過所述目標流程，確定所述應訴證據對應的真實性參考評分。
本方法的執行主體也可以是上文所述的識別設備，具體也可以是上文所述的案件線上受理系統。
眾所周知，在司法領域，證據通常是針對案件中的某個案件事件提出的，用於證實或證偽該案件事件的發生。
在本說明書實施例中，所述原告可以是民事案件中的原告，刑事案件中的公訴方、被害人或被害人親屬。所述被告可以是民事案件中的被告，刑事案件中的犯罪嫌疑人或犯罪嫌疑人親屬。
在圖2所示的方法中，所述起訴證據是所述原告提出的，用於證實所述案件事件資訊的電子證據，所述應訴證據是所述被告提出的，用於證偽所述案件事件資訊的電子證據。
在圖2所示的方法中，所述目標流程實際上就是圖1所示的方法流程，有關所述目標流程的說明可參見前文，不再贅述。
透過圖2所示的方法，針對案件的原告主張為真實發生的某個案件事件，一方面透過目標流程，對原告提出的用於證實該案件事件的起訴證據進行識別，另一方面透過目標流程，對被告提出的用於證偽該案件事件的應訴證據進行識別。其中，所述目標流程為，對目標電子證據(起訴證據或應訴證據)進行識別，當確定目標電子證據已經被至少一個備選區塊鏈存證平臺存證時，對目標電子證據給出較高的真實性參考評分，當確定目標電子證據未被至少一個備選區塊鏈存證平臺存證時，對目標電子證據給出較低的真實性參考評分。目標電子證據對應的真實性參考評分較高，說明識別出的目標電子證據的真實程度(真實的可能性)較高，被篡改的可能性較低。已被區塊鏈存證平臺存證的電子證據往往具有不可篡改的特性，而電子證據對應的的真實性參考評分是根據電子證據是否已被區塊鏈存證平臺存證作出的，如此，以電子證據對應的真實性參考評分為參考，可以顯著降低司法人員審查電子證據真實性的難度。
此外，在圖2所示的方法中，可以根據應訴證據的有無，以及應訴證據對應的真實性參考評分，對起訴證據對應的真實性參考評分進行修正。
具體地，當確定不存在應訴證據時，可以調高所述起訴證據對應的真實性參考評分。當然，當所述起訴證據對應的真實性參考評分已經是滿分時，事實上已經無法繼續調高。因此，實際上，是當確定不存在應訴證據，且所述起訴證據對應的真實性參考評分未達到滿分時，調高所述起訴證據對應的真實性參考評分。
需要說明的是，被告針對所述案件事件資訊，並未提出證偽所述案件事件資訊的電子證據，意味著被告很可能默認了所述案件事件資訊是真實的，這種情況下，調高所述起訴證據對應的真實性參考評分，可以進一步降低司法人員審查電子證據真實性的難度。
另外，當確定存在應訴證據時，可以判斷所述應訴證據對應的真實性參考評分是否滿足預設的修正觸發條件，若是，則對所述起訴證據對應的真實性參考評分進行修正。
進一步地，當所述修正觸發條件為所述應訴證據對應的真實性參考評分大於第一指定臨界值時，可以調低所述起訴證據對應的真實性參考評分；當所述修正觸發條件為所述應訴證據對應的真實性參考評分小於第二指定臨界值時，可以調高所述起訴證據對應的真實性參考評分；其中，所述第一指定臨界值大於所述第二指定臨界值。
也就是說，當所述應訴證據對應的真實性參考評分過大時，相當於間接削弱了所述起訴證據的真實性，因此，可以調低所述起訴證據對應的真實性參考評分。具體地，可以調低所述起訴證據對應的真實性參考評分，使得所述起訴證據對應的真實性參考等級降低。
也就是說，當所述應訴證據對應的真實性參考評分過小時，相當於間接增強了所述起訴證據的真實性，因此，可以調高所述起訴證據對應的真實性參考評分。具體地，可以調高所述起訴證據對應的真實性參考評分，使得所述起訴證據對應的真實性參考等級升高。
基於圖1所示的基於區塊鏈存證的識別證據真實性的方法，本說明書實施例還對應提供了一種基於區塊鏈存證的識別證據真實性的裝置，如圖3所示，包括：
判斷模組301，針對目標電子證據，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證；
第一處理模組302，若所述判斷模組301確定所述目標電子證據已被至少一個備選區塊鏈存證平臺存證，則確定第一評分，作為所述目標電子證據對應的真實性參考評分；
第二處理模組303，若所述判斷模組301確定所述目標電子證據未被至少一個備選區塊鏈存證平臺存證，則確定第二評分，作為所述目標電子證據對應的真實性參考評分；
其中，所述目標電子證據對應的真實性參考評分與識別出的所述目標電子證據的真實程度正相關，所述第一評分大於所述第二評分。
所述判斷模組301，獲取用戶上傳的目標電子證據；根據所述目標電子證據，計算所述目標電子證據的證據雜湊；針對每個備選區塊鏈存證平臺，根據所述證據雜湊，向該備選區塊鏈存證平臺進行查詢，以確定該備選區塊鏈存證平臺存證的任一交易中是否包含所述證據雜湊；若是，則確定所述目標電子證據已被該備選區塊鏈存證平臺存證；否則，確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
所述判斷模組301，獲取用戶上傳的目標交易雜湊；針對每個備選區塊鏈存證平臺，根據所述交易雜湊，向該備選區塊鏈存證平臺進行查詢，以判斷該備選區塊鏈存證平臺記錄的交易中，是否存在交易雜湊為所述目標交易雜湊的交易；若存在，則以交易雜湊為所述目標交易雜湊的交易為目標交易，將透過所述目標交易存證的電子證據確定為目標電子證據，以及，確定所述目標電子證據已被該備選區塊鏈存證平臺存證；若不存在，則確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
所述判斷模組301，獲取用戶上傳的目標電子證據和目標交易雜湊；針對每個備選區塊鏈存證平臺，根據所述目標交易雜湊，向該備選區塊鏈存證平臺進行查詢，以判斷該備選區塊鏈存證平臺記錄的交易中，是否存在交易雜湊為所述目標交易雜湊的交易；若存在，則以交易雜湊為所述目標交易雜湊的交易為目標交易，判斷透過所述目標交易存證的電子證據與所述目標電子證據是否相同，如果是，那麼確定所述目標電子證據已被該備選區塊鏈存證平臺存證，如果否，那麼確定所述目標電子證據未被該備選區塊鏈存證平臺存證；若不存在，則確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
預設若干類別，並針對每個類別，設置對應於該類別的評分規則；
所述第一處理模組302，確定所述目標電子證據從屬的類別，作為目標類別；根據所述目標類別對應的評分規則，確定第一評分或第二評分；
所述第二處理模組303，確定所述目標電子證據從屬的類別，作為目標類別；根據所述目標類別對應的評分規則，確定第二評分。
預先針對每個類別，設置對應於該類別的若干分數區間，並針對對應於該類別的每個分數區間，設置對應於該分數區間的真實性參考等級；針對任意兩個分數區間，左端點值較大的分數區間對應的真實性參考等級較高；
所述裝置還包括：
等級評定模組304，在所述目標類別對應的分數區間中，確定所述目標電子證據對應的真實性參考評分所落入的分數區間，作為目標分數區間；將所述目標分數區間對應的真實性參考等級，確定為所述目標電子證據對應的真實性參考等級，以便針對每個指定電子證據，根據調整後的該類別對應的評分規則和/或分數區間得到的該指定電子證據對應的真實性參考等級，與該指定電子證據對應的真實性可信等級一致。
所述裝置還包括：調整模組305，對於任一類別，針對從屬該類別的每個電子證據，獲取該電子證據對應的真實性可信等級；該電子證據對應的真實性可信等級是透過司法程序認定的；在從屬該類別的電子證據中，篩選出真實性參考等級與真實性可信等級不一致的電子證據，作為指定電子證據；若指定電子證據占從屬該類別的電子證據的比例大於指定比例，則根據每個指定電子證據對應的真實性可信等級，調整該類別對應的評分規則和/或分數區間。
所述第二處理模組303，判斷所述目標電子證據是否已被用戶指定的非備選區塊鏈存證平臺存證；若是，則確定所述目標電子證據對應的第三評分，作為所述目標電子證據對應的真實性參考評分；否則，確定所述目標電子證據對應的第二評分，作為所述目標電子證據對應的真實性參考評分；其中，所述第三評分大於所述第二評分，並且所述第三評分小於所述第一評分。
所述第二處理模組303，將指定分數確定為第二評分；或當確定滿足指定條件時，將大於所述指定分數的分數確定為第二評分；
確定滿足指定條件，具體包括：
針對每個備選區塊鏈存證平臺，確定該備選區塊鏈平臺存證的電子證據中，與所述目標電子證據最相似的電子證據，作為所述目標電子證據對應的相似電子證據；
計算所述目標電子證據與所述相似電子證據的相似度，作為所述目標電子證據對應的相似度；所述目標電子證據對應的相似度越大，所述目標電子證據與所述相似電子證據越相似；
從所述目標電子證據對應的各相似度中，選擇最大的相似度，作為最大相似度；
若所述最大相似度大於指定相似度，則確定滿足指定條件。
基於圖2所示的基於區塊鏈存證的識別雙方證據真實性的方法，本說明書實施例還對應提供了一種基於區塊鏈存證的識別雙方證據真實性的裝置，如圖4所示，包括：
接收模組401，接收案件的原告上傳的案件事件資訊；
起訴證據識別模組402，透過目標流程，確定起訴證據對應的真實性參考評分；所述起訴證據是所述原告提出的，用於證實所述案件事件資訊的電子證據；
發送模組403，將所述案件事件資訊和所述起訴證據發送給案件的被告；
應訴證據識別模組404，當確定存在應訴證據時，透過所述目標流程，確定所述應訴證據對應的真實性參考評分；所述應訴證據是所述被告提出的，用於證偽所述案件事件資訊的電子證據；
其中，所述目標流程包括：
針對目標電子證據，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證；所述目標電子證據是所述起訴證據或所述應訴證據；
若確定所述目標電子證據已被至少一個備選區塊鏈存證平臺存證，則確定第一評分，作為所述目標電子證據對應的真實性參考評分；
若確定所述目標電子證據未被至少一個備選區塊鏈存證平臺存證，則確定第二評分，作為所述目標電子證據對應的真實性參考評分；
所述目標電子證據對應的真實性參考評分與識別出的所述目標電子證據的真實程度正相關，所述第一評分大於所述第二評分。
針對目標電子證據，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證，具體包括：
獲取用戶上傳的目標電子證據；
根據所述目標電子證據，計算所述目標電子證據的證據雜湊；
針對每個備選區塊鏈存證平臺，根據所述證據雜湊，向該備選區塊鏈存證平臺進行查詢，以確定該備選區塊鏈存證平臺存證的任一交易中是否包含所述證據雜湊；
若是，則確定所述目標電子證據已被該備選區塊鏈存證平臺存證；
否則，確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
針對目標電子證據，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證，具體包括：
獲取用戶上傳的目標交易雜湊；
針對每個備選區塊鏈存證平臺，根據所述交易雜湊，向該備選區塊鏈存證平臺進行查詢，以判斷該備選區塊鏈存證平臺記錄的交易中，是否存在交易雜湊為所述目標交易雜湊的交易；
若存在，則以交易雜湊為所述目標交易雜湊的交易為目標交易，將透過所述目標交易存證的電子證據確定為目標電子證據，以及，確定所述目標電子證據已被該備選區塊鏈存證平臺存證；
若不存在，則確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
針對目標電子證據，判斷所述目標電子證據是否已被至少一個備選區塊鏈存證平臺存證，具體包括：
獲取用戶上傳的目標電子證據和目標交易雜湊；
針對每個備選區塊鏈存證平臺，根據所述目標交易雜湊，向該備選區塊鏈存證平臺進行查詢，以判斷該備選區塊鏈存證平臺記錄的交易中，是否存在交易雜湊為所述目標交易雜湊的交易；
若存在，則以交易雜湊為所述目標交易雜湊的交易為目標交易，判斷透過所述目標交易存證的電子證據與所述目標電子證據是否相同，如果是，那麼確定所述目標電子證據已被該備選區塊鏈存證平臺存證，如果否，那麼確定所述目標電子證據未被該備選區塊鏈存證平臺存證；
若不存在，則確定所述目標電子證據未被該備選區塊鏈存證平臺存證。
預設若干類別，並針對每個類別，設置對應於該類別的評分規則；
確定第一評分或第二評分，具體包括：
確定所述目標電子證據從屬的類別，作為目標類別；
根據所述目標類別對應的評分規則，確定第一評分或第二評分。
預先針對每個類別，設置對應於該類別的若干分數區間，並針對對應於該類別的每個分數區間，設置對應於該分數區間的真實性參考等級；針對任意兩個分數區間，左端點值較大的分數區間對應的真實性參考等級較高；
所述目標流程還包括：
在所述目標類別對應的分數區間中，確定所述目標電子證據對應的真實性參考評分所落入的分數區間，作為目標分數區間；
將所述目標分數區間對應的真實性參考等級，確定為所述目標電子證據對應的真實性參考等級。
所述目標流程還包括：
對於任一類別
針對從屬該類別的每個電子證據，獲取該電子證據對應的真實性可信等級；該電子證據對應的真實性可信等級是透過司法程序認定的；
在從屬該類別的電子證據中，篩選出真實性參考等級與真實性可信等級不一致的電子證據，作為指定電子證據；
若指定電子證據占從屬該類別的電子證據的比例大於指定比例，則根據每個指定電子證據對應的真實性可信等級，調整該類別對應的評分規則和/或分數區間，以便針對每個指定電子證據，根據調整後的該類別對應的評分規則和/或分數區間得到的該指定電子證據對應的真實性參考等級，與該指定電子證據對應的真實性可信等級一致。
確定第二評分，作為所述目標電子證據對應的真實性參考評分，具體包括：
判斷所述目標電子證據是否已被用戶指定的非備選區塊鏈存證平臺存證；
若是，則確定所述目標電子證據對應的第三評分，作為所述目標電子證據對應的真實性參考評分；
否則，確定所述目標電子證據對應的第二評分，作為所述目標電子證據對應的真實性參考評分；
其中，所述第三評分大於所述第二評分，並且所述第三評分小於所述第一評分。
確定第二評分，具體包括：
將指定分數確定為第二評分；
或
當確定滿足指定條件時，將大於所述指定分數的分數確定為第二評分；
確定滿足指定條件，具體包括：
針對每個備選區塊鏈存證平臺，確定該備選區塊鏈平臺存證的電子證據中，與所述目標電子證據最相似的電子證據，作為所述目標電子證據對應的相似電子證據；
計算所述目標電子證據與所述相似電子證據的相似度，作為所述目標電子證據對應的相似度；所述目標電子證據對應的相似度越大，所述目標電子證據與所述相似電子證據越相似；
從所述目標電子證據對應的各相似度中，選擇最大的相似度，作為最大相似度；
若所述最大相似度大於指定相似度，則確定滿足指定條件。
所述裝置還包括：
第一修正模組405，若確定不存在應訴證據，則調高所述起訴證據對應的真實性參考評分。
所述裝置還包括：
第二修正模組406，若所述應訴證據對應的真實性參考評分滿足預設的修正觸發條件，則對所述起訴證據對應的真實性參考評分進行修正。
所述第二修正模組406，當所述修正觸發條件為所述應訴證據對應的真實性參考評分大於第一指定臨界值時，調低所述起訴證據對應的真實性參考評分；當所述修正觸發條件為所述應訴證據對應的真實性參考評分小於第二指定臨界值時，調高所述起訴證據對應的真實性參考評分；其中，所述第一指定臨界值大於所述第二指定臨界值。In order to enable those skilled in the art to better understand the technical solutions in the embodiments of this specification, the technical solutions in the embodiments of this specification will be described in detail below in conjunction with the drawings in the embodiments of this specification. Obviously, the described implementation The examples are only a part of the embodiments of this specification, not all the embodiments. Based on the embodiments in this specification, all other embodiments obtained by those of ordinary skill in the art should fall within the scope of protection.
The following describes in detail the technical solutions provided by the embodiments of this specification in conjunction with the accompanying drawings.
Figure 1 is a schematic flow chart of a method for identifying the authenticity of evidence based on blockchain deposits provided by an embodiment of this specification, including the following steps:
S100: Regarding the target electronic evidence, determine whether the target electronic evidence has been certified by at least one candidate blockchain storage platform, if it is determined that the target electronic evidence has been certified by at least one candidate blockchain storage platform , Step S102 is performed, and if it is determined that the target electronic evidence is not certified by at least one candidate blockchain certification platform, step S104 is performed.
The execution subject of this method can be a device managed by a subject (such as a court) that needs to identify the authenticity of electronic evidence (referred to herein as an identification device). More specifically, in practice, the identification device may be the court’s online case acceptance system, which accepts the case online, and identifies the authenticity of the electronic evidence related to the case, and the identification result (electronic evidence corresponds to The authenticity reference score) is provided to the judge for reference.
It should be noted that the electronic evidence described in this article can be evidence generated in electronic form (such as a web page), or in the electronic form of physical evidence (such as a photo of an IOU). It should also be noted that the target electronic evidence refers to the electronic evidence whose authenticity needs to be identified. It can be the evidence presented by the plaintiff of the case, the evidence presented by the plaintiff of the case, or other related persons in the case (such as investigation Personnel, such as case stakeholders).
In the embodiment of this specification, the blockchain certificate deposit platform is a service organization that deposits materials uploaded by users based on blockchain technology. Users can use the blockchain certificate deposit platform to deposit electronic evidence that needs to be preserved. Usually, the blockchain depository platform realizes the deposit of electronic evidence through the data structure of the transaction in the blockchain network.
It should be noted that the transaction described in this manual (
Transaction) refers to a piece of data created by the user through the client terminal of the blockchain and need to be finally released to the distributed database of the blockchain. In other words, transactions in the blockchain are divided into narrow transactions and broad transactions. A narrowly defined transaction refers to a transfer of value issued by a user to the blockchain; for example, in a traditional Bitcoin blockchain network, a transaction can be a transfer initiated by the user in the blockchain. In a broad sense, a transaction refers to a piece of business data with business intentions released by a user to the blockchain; for example, an operator can build a consortium chain based on actual business needs, and rely on the consortium chain to deploy some other types that are not related to value transfer. Online business (for example, renting business, vehicle dispatching business, insurance claims business, credit service, medical service, etc.), and in this kind of alliance chain, the transaction can be a business message with business intent issued by the user in the alliance chain or Business request.
Specifically, the blockchain evidence storage platform can be used as a node in the blockchain network. When receiving the electronic evidence uploaded by the user, it can construct a transaction containing the evidence hash of the electronic evidence (of course, it can also contain the The electronic evidence itself), and broadcast the constructed transaction to the blockchain network, so that each node subsequently deposits the transaction in its own blockchain based on the consensus mechanism. In this way, the multi-party depository of electronic evidence is realized . Among them, when the transaction only contains the evidence hash of the electronic evidence, since the evidence hash of the electronic evidence has been released to the blockchain, if the electronic evidence is tampered with, the evidence hash of the tampered electronic evidence will be in the blockchain The published evidence hash is inconsistent. Therefore, the evidence hash of the electronic evidence is released to the blockchain, which is equivalent to the electronic evidence being certified by multiple parties. It should also be noted that when the transaction only contains a mix of electronic evidence, the blockchain evidence storage platform will generally store the electronic evidence in a data warehouse (non-blockchain).
In addition, the blockchain certificate deposit platform can also rely on the factom architecture to provide users with electronic evidence deposit services.
In the embodiment of this specification, several blockchain depository platforms on the market can be designated as alternative blockchain depository platforms. For example, the court can select several blockchain evidence storage platforms from the blockchain evidence storage platforms on the market as alternative blockchain evidence storage platforms, and establish a cooperative relationship with each alternative blockchain evidence storage platform. The online case acceptance system can be connected with the servers of various alternative blockchain deposit platforms.
In the embodiment of this specification, the identification device determines whether the target electronic evidence has been certified by at least one candidate blockchain certification platform at least including the following four:
1. Obtain the target electronic evidence uploaded by the user; for each candidate blockchain storage platform, inquire the candidate blockchain storage platform to determine the responsibility of the candidate blockchain storage platform Whether the target electronic evidence is included in a transaction; if so, it is determined that the target electronic evidence has been certified by the candidate blockchain attestation platform; otherwise, it is determined that the target electronic evidence has not been certified by the candidate blockchain Deposit certificate platform. Among them, the user who uploads the target electronic evidence can be the plaintiff, defendant or other relevant personnel of the case.
2. Obtain the target electronic evidence uploaded by the user; calculate the evidence hash of the target electronic evidence according to the target electronic evidence; for each candidate blockchain storage platform, send to the candidate area according to the evidence hash The blockchain certification platform performs a query to determine whether any transaction of the candidate blockchain certification platform contains the evidence hash; if so, it is determined that the target electronic evidence has been used by the candidate blockchain The certificate is deposited by the certificate deposit platform; otherwise, it is determined that the target electronic evidence has not been certificated by the candidate blockchain deposit platform. Among them, the user who uploads the target electronic evidence can be the plaintiff, defendant or other relevant personnel of the case.
In methods 1 and 2, the user needs to upload the target electronic evidence to the identification device. If the target electronic evidence is indirectly recorded in the form of evidence hash, then the identification device can calculate the evidence hash of the electronic evidence and calculate it. The evidence is mixed as clues, and the verification is carried out to each candidate blockchain certification platform to determine whether the target electronic evidence is actually certified by at least one candidate blockchain certification platform; if the target electronic evidence is directly performed If the certificate is deposited, the identification device can directly verify to each candidate blockchain deposit platform whether the target electronic evidence has been published to the blockchain.
3. Obtain the target transaction hash uploaded by the user; for each candidate blockchain storage platform, according to the transaction hash, query the candidate blockchain storage platform to determine the candidate blockchain storage In the transactions recorded by the security platform, whether there is a transaction whose transaction hash is the target transaction hash; if it exists, the transaction whose transaction hash is the target transaction hash is the target transaction, and the electronic evidence of the target transaction will be deposited through the target transaction Determine the target electronic evidence, and determine that the target electronic evidence has been certified by the candidate blockchain certification platform; if it does not exist, determine that the target electronic evidence has not been certified by the candidate blockchain certification platform Deposit evidence.
Among them, the user who uploads the target transaction hash can be the plaintiff, defendant or other relevant personnel of the case. The target transaction hash is the transaction hash of the target transaction, and the target transaction is the transaction that contains the evidence hash of the target electronic evidence.
In mode 3, the user only needs to upload the target transaction hash to the identification device, instead of uploading the target electronic evidence. According to the target transaction hash, the identification device queries the target transaction corresponding to the target transaction hash on each alternative blockchain storage platform. If the target transaction cannot be queried, the target transaction hash is deemed invalid, which means that the target electronic evidence has not been at least one Alternative blockchain depository platform for deposit; if the target transaction is queried, the electronic evidence deposited through the target transaction is the target electronic evidence.
Further, if the target transaction stored in the blockchain contains the target electronic evidence itself, the target electronic evidence can be extracted directly from the target transaction; if the target transaction stored in the blockchain contains the target electronic evidence If the evidence is mixed, you can use the mixed evidence as a clue, from other channels (such as a data warehouse).
4. Obtain the target electronic evidence and target transaction hash uploaded by the user; for each candidate blockchain storage platform, according to the target transaction hash, query the candidate blockchain storage platform to determine the backup Select whether there is a transaction in which the transaction hash is the target transaction hash among the transactions recorded by the blockchain depository platform; if so, the transaction in which the transaction hash is the target transaction hash is the target transaction, and the judgment is made through the target transaction Whether the deposited electronic evidence is the same as the target electronic evidence, if yes, then it is determined that the target electronic evidence has been certified by the alternative blockchain certification platform, if not, then it is determined that the target electronic evidence has not been The candidate blockchain certification platform has the certificate; if it does not exist, it is determined that the target electronic evidence has not been certified by the candidate blockchain certification platform.
In method 4, the user can upload the target electronic evidence and the target transaction hash to the identification device. Among them, as mentioned above, the target electronic evidence is published to the blockchain through the data structure of the target transaction. The target transaction can include the electronic evidence itself, or it can only include the evidence hash of the target electronic evidence. Based on this, in method 4, it is judged whether the electronic evidence deposited through the target transaction is the same as the target electronic evidence. Specifically, it is possible to calculate the evidence hash of the electronic evidence deposited through the target transaction and calculate the target Evidence hash of the electronic evidence, compare whether the two pieces of evidence obtained by calculation are consistent, if they are the same, it can be determined that the target electronic evidence has been certified by the alternative blockchain certification platform.
In short, in step S100, the identification device can use multiple methods to determine whether the target electronic evidence has been certified by at least one candidate blockchain certification platform, and identify the authenticity of the target electronic evidence ( That is, the real possibility).
If the target electronic evidence is not certified by any of the alternative blockchain certification platforms, it means that the true degree of the target electronic evidence is unknown or doubtful, and may have been tampered with; if the target electronic evidence The evidence has been certified by at least one candidate blockchain certification platform, which means that the authenticity of the target electronic evidence is high and the possibility of tampering is low.
S102: Determine a first score as the authenticity reference score corresponding to the target electronic evidence.
S104: Determine a second score as the authenticity reference score corresponding to the target electronic evidence.
In the embodiment of this specification, the concept of authenticity reference score is introduced to quantify the authenticity of the electronic evidence. The higher the authenticity of the target electronic evidence recognized by the identification device, correspondingly, the authenticity reference given to the target electronic evidence The higher the score. Specifically, the authenticity reference score may be a percentile system. Assuming that the authenticity reference score corresponding to the target electronic evidence is 90, it means that the recognition device has a 90% probability that the target electronic evidence has not been tampered with.
If the target electronic evidence has not been certified by any of the candidate blockchain deposit platforms, then a higher authenticity reference score (ie the first score) is given to the target electronic evidence. If the target electronic evidence has been If it is certified by at least one candidate blockchain certification platform, then a lower authenticity reference score (ie, the second score) is given for the target electronic evidence. That is, the first score is greater than the second score.
Through the method shown in Figure 1, the authenticity reference score corresponding to the target electronic evidence is relatively high, indicating that the authenticity of the identified target electronic evidence (possibility of truth) is high, and the possibility of being tampered with is low. The electronic evidence that has been certified by the blockchain certification platform often has the characteristics of immutability, and the authenticity reference score corresponding to the electronic evidence is based on whether the electronic evidence has been certified by the blockchain certification platform. The authenticity reference score corresponding to the electronic evidence is used as a reference, which can significantly reduce the difficulty for judicial personnel to review the authenticity of the electronic evidence.
In addition, in the embodiment of this specification, several categories can be set, and for each category, a scoring rule corresponding to the category is set. The corresponding categories can be set according to the types of cases related to electronic evidence, such as the following categories: 1. Internet copyright cases-distribution rights; 2. Criminal cases-fraud; 3. Contract dispute cases-breach of contract.
You can also set categories according to different types of evidence, such as the following categories: 1. Audiovisual evidence-screenshots of web pages; 2. Text evidence-word files.
You can also set categories according to the different types of cases involved in electronic evidence and the types of evidence, such as the following categories: 1. (Internet copyright cases-distribution rights, audiovisual evidence-webpage screenshots); 2. (criminal cases-fraud, Text evidence-word file).
Therefore, in step S102, the category to which the target electronic evidence belongs can be determined as the target category; and the first score is determined according to the scoring rule corresponding to the target category. In step S104, the category to which the target electronic evidence belongs may be determined as the target category; and the second score is determined according to the scoring rule corresponding to the target category.
The scoring rules for different categories are different, which means that even if the same electronic evidence belongs to different categories, the authenticity reference scores obtained may be different. For example, there are categories: 1. Internet copyright cases-distribution rights; 2. Criminal cases-fraud; among them, the scoring rules corresponding to category 1 are relatively loose, and the scoring rules corresponding to category 2 are relatively strict. Assuming that the target electronic evidence is a paragraph The recording has been deposited on an alternative blockchain storage platform. If this recording is classified as category 1, the authenticity reference score for this recording may be 99 points. If this recording is classified as category 2 , The authenticity reference score obtained by this recording may be 80 points.
Further, for each category, a number of score intervals corresponding to the category can be set in advance, and for each score interval corresponding to the category, the authenticity reference level corresponding to the score interval can be set; for any two scores Interval, the score interval with a larger left endpoint value (or right endpoint value) corresponds to a higher authenticity reference level, that is, a score interval with a larger left endpoint value corresponds to a higher authenticity reference level than a score interval with a smaller left endpoint value The authenticity reference level corresponding to the score interval. Normally, there is no overlapping part of each score interval. For example, assuming that the authenticity reference score is a percentile system, for a certain category, [0,100] can be divided into several score intervals, namely [0,40), [40,80), [80,100], as the corresponding category Score interval. Then, in each score interval corresponding to the category, set the corresponding authenticity reference level, for example, the authenticity level corresponding to [0,40) is level 1, [40,80) is level 2, and [80,100] corresponds to The authenticity level is level 3.
Based on this, after obtaining the authenticity reference score corresponding to the target electronic evidence, the evidence category to which the target electronic evidence belongs can be determined as the target evidence category; then in the score interval corresponding to the target category, the The score interval in which the authenticity reference score corresponding to the target electronic evidence falls is used as the target score interval; the authenticity reference level corresponding to the target score interval is determined as the authenticity reference level corresponding to the target electronic evidence.
Furthermore, in the embodiments of the present specification, the scoring rules and/or score intervals corresponding to a certain category can be adjusted according to the final determination result of the authenticity of the electronic evidence in the judicial process.
Specifically, for any category, for each electronic evidence belonging to the category, obtain the authenticity credibility level corresponding to the electronic evidence; the authenticity credibility level corresponding to the electronic evidence is determined through judicial procedures; Among the types of electronic evidence, the electronic evidence whose authenticity reference level is inconsistent with the authenticity credibility level is selected as the designated electronic evidence; if the proportion of the designated electronic evidence in the electronic evidence belonging to the category is greater than the designated proportion, it will be based on each designated electronic evidence The authenticity and credibility level corresponding to the electronic evidence, adjust the scoring rule and/or score interval corresponding to the category, so that for each designated electronic evidence, the designated electronic evidence can be obtained according to the adjusted scoring rule and/or score interval corresponding to the category The authenticity reference level corresponding to the electronic evidence is consistent with the authenticity credibility level corresponding to the designated electronic evidence.
For example, after the online case acceptance system has been running for a period of time, the authenticity of 100 electronic evidences belonging to category 1 has been identified, and the authenticity reference levels corresponding to these 100 electronic evidences have been obtained. After these 100 electronic evidences were submitted to the court one after another, the court determined the authenticity and credibility levels of the 100 electronic evidences through judicial procedures. Among them, the authenticity reference level is inconsistent with the authenticity credibility level of the electronic evidence (designated There are 25 electronic evidence), accounting for 25%, which is greater than 20% (specified proportion). Then, the online case acceptance system can adjust the scoring rules and/or the score interval corresponding to category 1 accordingly, so that for each specified For electronic evidence, according to the adjusted scoring rules and/or score interval, the authenticity reference level corresponding to the designated electronic evidence obtained is consistent with the authenticity credibility level corresponding to the designated electronic evidence.
In addition, in the embodiment of this specification, if it is determined that the target electronic evidence has not been certified by any candidate blockchain certification platform, it can be further determined whether the target electronic evidence has been designated by the user in a non-optional area The blockchain certificate platform deposits the certificate. If yes, the third score corresponding to the target electronic evidence is determined as the authenticity reference score corresponding to the target electronic evidence; otherwise, the second score corresponding to the target electronic evidence is determined, As the authenticity reference score corresponding to the target electronic evidence. Wherein, the third score is greater than the second score, and the third score is less than the first score.
In other words, if the target electronic evidence has not been certified by any candidate blockchain certification platform, but it has been stored by a non-candidate blockchain certification platform (not previously connected to the identification device) Then, the authenticity of the target electronic evidence can be recognized to a certain extent.
Further, in step S104, the designated score may be determined as the second score, or when it is determined that the designated condition is satisfied, a score greater than the designated score may be determined as the second score.
Among them, determining that the specified conditions are met specifically refers to: for each candidate blockchain certification platform, determine the electronic evidence that is most similar to the target electronic evidence among the electronic evidence deposited on the candidate blockchain platform. As the similar electronic evidence corresponding to the target electronic evidence; calculate the similarity between the target electronic evidence and the similar electronic evidence as the similarity corresponding to the target electronic evidence; the greater the similarity corresponding to the target electronic evidence , The target electronic evidence is more similar to the similar electronic evidence; from among the similarities corresponding to the target electronic evidence, the largest similarity is selected as the maximum similarity; if the maximum similarity is greater than the specified similarity, It is determined that the specified conditions are met.
What needs to be explained here is that, in practice, sometimes the version of the electronic evidence uploaded by the user to the blockchain storage platform for storage is the original version (called original electronic evidence), and then the user provides the electronic evidence to the identification device The evidence is the latest version (the latest electronic evidence). The original electronic evidence and the latest electronic evidence are often very similar, but there are certain differences, which leads to the identification equipment verifying the authenticity of the latest electronic evidence, it will be determined that the latest electronic evidence is not Be deposited by any alternative blockchain deposit platform. In order to avoid this situation, if the target electronic evidence is not certified by any alternative blockchain certification platform, but it is very similar to a certain electronic evidence that has already been certified, the authenticity of the target electronic evidence can be referenced The score is determined to be a higher score (but should be less than the first score).
Fig. 2 is a method for identifying the authenticity of evidence of both parties based on blockchain depository provided by the embodiment of this specification, including the following steps:
S200: Receive case incident information uploaded by the plaintiff of the case.
S202: Determine the authenticity reference score corresponding to the prosecution evidence through the target process.
S204: Send the case event information and the prosecution evidence to the defendant of the case.
S206: When it is determined that there is responding evidence, determine the authenticity reference score corresponding to the responding evidence through the target process.
The execution subject of this method can also be the identification device described above, or specifically, the online case acceptance system described above.
As we all know, in the judicial field, evidence is usually presented in response to a certain case event in a case to confirm or falsify the occurrence of the case event.
In the embodiments of this specification, the plaintiff may be a plaintiff in a civil case, a prosecutor in a criminal case, a victim or a relative of a victim. The defendant may be a defendant in a civil case, a criminal suspect in a criminal case, or a relative of a criminal suspect.
In the method shown in Figure 2, the prosecution evidence is the electronic evidence proposed by the plaintiff to confirm the event information of the case, and the response evidence is the electronic evidence proposed by the defendant to falsify the Electronic evidence of case event information.
In the method shown in FIG. 2, the target process is actually the method process shown in FIG. 1, and the description of the target process can be referred to the foregoing, and will not be repeated.
Through the method shown in Figure 2, the plaintiff of the case claims a case event that actually occurred. On the one hand, through the target process, the plaintiff’s prosecution evidence used to confirm the case is identified, on the other hand, through the target process , To identify the evidence in response to the case proposed by the defendant to falsify the incident. Among them, the target process is to identify the target electronic evidence (prosecution evidence or response evidence), and when it is determined that the target electronic evidence has been certified by at least one candidate blockchain evidence platform, the target electronic evidence is given A higher authenticity reference score. When it is determined that the target electronic evidence has not been certified by at least one candidate blockchain certification platform, a lower authenticity reference score is given to the target electronic evidence. The higher authenticity reference score corresponding to the target electronic evidence indicates that the identified target electronic evidence has a higher degree of authenticity (possibility of authenticity) and a lower probability of being tampered with. Electronic evidence that has been certified by the blockchain certification platform often has the characteristics of non-tampering, and the authenticity reference score corresponding to the electronic evidence is based on whether the electronic evidence has been certified by the blockchain certification platform, so, Taking the authenticity reference score corresponding to the electronic evidence as a reference can significantly reduce the difficulty for judicial personnel to review the authenticity of the electronic evidence.
In addition, in the method shown in Fig. 2, the authenticity reference score corresponding to the prosecution evidence can be modified according to the presence or absence of the response evidence and the authenticity reference score corresponding to the response evidence.
Specifically, when it is determined that there is no evidence in response to a suit, the authenticity reference score corresponding to the evidence in suit may be increased. Of course, when the authenticity reference score corresponding to the prosecution evidence is already full marks, in fact, it can no longer be increased. Therefore, in fact, when it is determined that there is no response evidence, and the authenticity reference score corresponding to the indictment evidence does not reach full marks, the authenticity reference score corresponding to the indictment evidence is increased.
What needs to be explained is that the defendant did not submit electronic evidence to falsify the information of the said case and event in response to the information of the said case, which means that the defendant probably acquiesced to the fact that the information of the said case is true. In this case, increase The authenticity reference score corresponding to the prosecution evidence can further reduce the difficulty for judicial personnel to review the authenticity of the electronic evidence.
In addition, when it is determined that there is response evidence, it can be judged whether the authenticity reference score corresponding to the response evidence meets the preset modification trigger condition, and if so, the authenticity reference score corresponding to the response evidence is modified.
Further, when the modified trigger condition is that the authenticity reference score corresponding to the evidence in response to the suit is greater than a first specified threshold, the authenticity reference score corresponding to the evidence in suit may be lowered; when the modified trigger condition is When the authenticity reference score corresponding to the responding evidence is less than a second specified threshold, the authenticity reference score corresponding to the litigation evidence may be increased; wherein, the first specified threshold is greater than the second specified threshold .
That is, when the authenticity reference score corresponding to the prosecution evidence is too large, it is equivalent to indirectly weakening the authenticity of the prosecution evidence. Therefore, the authenticity reference score corresponding to the prosecution evidence can be lowered. Specifically, the authenticity reference score corresponding to the prosecution evidence may be lowered, so that the authenticity reference level corresponding to the prosecution evidence is lowered.
That is, when the authenticity reference score corresponding to the prosecution evidence is too small, it is equivalent to indirectly enhancing the authenticity of the prosecution evidence. Therefore, the authenticity reference score corresponding to the prosecution evidence can be increased. Specifically, the authenticity reference score corresponding to the prosecution evidence may be increased, so that the authenticity reference level corresponding to the prosecution evidence is increased.
Based on the method for identifying the authenticity of evidence based on blockchain deposits as shown in FIG. 1, the embodiment of this specification also provides a device for identifying the authenticity of evidence based on blockchain deposits, as shown in FIG. 3, including :
The judging
本說明書實施例還提供一種電腦設備，其至少包括記憶體、處理器及儲存在記憶體上並可在處理器上運行的電腦程式，其中，處理器執行所述程式時實現圖1和/或圖2所述方法的功能。 The embodiments of this specification also provide a computer device, which at least includes a memory, a processor, and a computer program stored on the memory and running on the processor, wherein the processor executes the program to implement FIG. 1 and/or The function of the method described in Figure 2.
圖5顯示了本說明書實施例所提供的一種更為具體的計算設備硬體結構示意圖，該設備可以包括：處理器1010、記憶體1020、輸入/輸出介面1030、通訊介面1040和匯流排1050。其中處理器1010、記憶體1020、輸入/輸出介面1030和通訊介面1040透過匯流排1050實現彼此之間在設備內部的通訊連接。
FIG. 5 shows a more specific hardware structure diagram of a computing device provided by an embodiment of this specification. The device may include a
處理器1010可以採用通用的CPU(Central Processing Unit，中央處理器)、微處理器、特殊應用積體電路(Application Specific Integrated Circuit，ASIC)、或者一個或多個積體電路等方式實現，用於執行相關程式，以實現本說明書實施例所提供的技術方案。
The
記憶體1020可以採用ROM(Read Only Memory，唯讀記憶體)、RAM(Random Access Memory，隨機存取記憶體)、靜態儲存設備，動態儲存設備等形式實現。記憶體1020可以儲存作業系統和其他應用程式，在透過軟體或者韌體來實現本說明書實施例所提供的技術方案時，相關的程式代碼保存在記憶體1020中，並由處理器1010來呼叫執行。
The
輸入/輸出介面1030用於連接輸入/輸出模組，以實現資訊輸入及輸出。輸入輸出/模組可以作為組件配置在設
備中(圖中未顯示)，也可以外接於設備以提供相應功能。其中輸入設備可以包括鍵盤、滑鼠、觸控螢幕、麥克風、各類感測器等，輸出設備可以包括顯示器、揚聲器、振動器、指示燈等。
The input/
通訊介面1040用於連接通訊模組(圖中未顯示)，以實現本設備與其他設備的通訊互動。其中通訊模組可以透過有線方式(例如USB、網線等)實現通訊，也可以透過無線方式(例如移動網路、WIFI、藍牙等)實現通訊。
The
匯流排1050包括一通路，在設備的各個組件(例如處理器1010、記憶體1020、輸入/輸出介面1030和通訊介面1040)之間傳輸資訊。
The
需要說明的是，儘管上述設備僅顯示了處理器1010、記憶體1020、輸入/輸出介面1030、通訊介面1040以及匯流排1050，但是在具體實施過程中，該設備還可以包括實現正常運行所必需的其他組件。此外，本領域的技術人員可以理解的是，上述設備中也可以僅包含實現本說明書實施例方案所必需的組件，而不必包含圖中所示的全部組件。
It should be noted that although the above device only shows the
本說明書實施例還提供一種電腦可讀儲存媒體，其上儲存有電腦程式，該程式被處理器執行時實現圖1和/或圖2所述方法的功能。 The embodiment of the present specification also provides a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, the function of the method described in FIG. 1 and/or FIG. 2 is realized.
電腦可讀媒體包括永久性和非永久性、可移動和非可移動媒體可以由任何方法或技術來實現資訊儲存。資訊可以是電腦可讀指令、資料結構、程式的模組或其他資料。電腦的儲存媒體的例子包括，但不限於相變記憶體(PRAM)、靜態隨機存取記憶體(SRAM)、動態隨機存取記憶體(DRAM)、其他類型的隨機存取記憶體(RAM)、唯讀記憶體(ROM)、電可抹除可程式化唯讀記憶體(EEPROM)、快閃記憶體或其他記憶體技術、唯讀光碟唯讀記憶體(CD-ROM)、數位多功能光碟(DVD)或其他光學儲存、磁盒式磁帶，磁帶磁磁碟儲存或其他磁性儲存設備或任何其他非傳輸媒體，可用於儲存可以被計算設備存取的資訊。按照本文中的界定，電腦可讀媒體不包括暫態電腦可讀媒體(transitory media)，如調變的資料訊號和載波。 透過以上的實施方式的描述可知，本領域的技術人員可以清楚地瞭解到本說明書實施例可借助軟體加必需的通用硬體平臺的方式來實現。基於這樣的理解，本說明書實施例的技術方案本質上或者說對現有技術做出貢獻的部分可以以軟體產品的形式體現出來，該電腦軟體產品可以儲存在儲存媒體中，如ROM/RAM、磁碟、光碟等，包括若干指令用以使得一台電腦設備(可以是個人電腦，伺服器，或者網路設備等)執行本說明書實施例各個實施例或者實施例的某些部分所述的方法。 上述實施例闡明的系統、方法、模組或單元，具體可以由電腦晶片或實體實現，或者由具有某種功能的產品來實現。一種典型的實現設備為電腦，電腦的具體形式可以是個人電腦、膝上型電腦、蜂巢式電話、相機電話、智慧手機、個人數位助理、媒體播放器、導航設備、電子郵件收發設備、遊戲控制台、平板電腦、可穿戴設備或者這些設備中的任意幾種設備的組合。 本說明書中的各個實施例均採用遞進的方式描述，各個實施例之間相同相似的部分互相參見即可，每個實施例重點說明的都是與其他實施例的不同之處。尤其，對於裝置和設備實施例而言，由於其基本相似於方法實施例，所以描述得比較簡單，相關之處參見方法實施例的部分說明即可。以上所描述的方法實施例僅僅是示意性的，其中所述作為分離部件說明的模組可以是或者也可以不是實體上分開的，在實施本說明書實施例方案時可以把各模組的功能在同一個或多個軟體和/或硬體中實現。也可以根據實際的需要選擇其中的部分或者全部模組來實現本實施例方案的目的。本領域普通技術人員在不付出進步性勞動的情況下，即可以理解並實施。 以上所述僅是本說明書實施例的具體實施方式，應當指出，對於本技術領域的普通技術人員來說，在不脫離本說明書實施例原理的前提下，還可以做出若干改進和潤飾，這些改進和潤飾也應視為本說明書實施例的保護範圍。Computer-readable media includes permanent and non-permanent, removable and non-removable media, and information storage can be realized by any method or technology. Information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), and other types of random access memory (RAM) , Read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technology, read-only CD-ROM, digital multi-function Optical discs (DVD) or other optical storage, magnetic cassettes, magnetic tape storage or other magnetic storage devices or any other non-transmission media can be used to store information that can be accessed by computing devices. According to the definition in this article, computer-readable media does not include transient computer-readable media (transitory media), such as modulated data signals and carrier waves. From the description of the above embodiments, those skilled in the art can clearly understand that the embodiments of this specification can be implemented by means of software plus a necessary general hardware platform. Based on this understanding, the technical solutions of the embodiments of this specification can be embodied in the form of software products, which can be stored in storage media, such as ROM/RAM, magnetic A disc, an optical disc, etc., include a number of instructions to make a computer device (which can be a personal computer, a server, or a network device, etc.) execute the methods described in the various embodiments or some parts of the embodiments of this specification. The systems, methods, modules, or units explained in the above embodiments may be implemented by computer chips or entities, or implemented by products with certain functions. A typical implementation device is a computer. The specific form of the computer can be a personal computer, a laptop computer, a cellular phone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email receiving and sending device, and a game control A console, a tablet, a wearable device, or a combination of any of these devices. The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device and equipment embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and for related parts, please refer to the part of the description of the method embodiments. The method embodiments described above are merely illustrative. The modules described as separate components may or may not be physically separated. When implementing the solutions of the embodiments of this specification, the functions of the modules can be Implemented in the same one or more software and/or hardware. It is also possible to select some or all of the modules according to actual needs to achieve the objectives of the solutions of the embodiments. Those of ordinary skill in the art can understand and implement it without making progressive work. The above are only specific implementations of the embodiments of this specification. It should be pointed out that for those of ordinary skill in the art, without departing from the principle of the embodiments of this specification, several improvements and modifications can be made. These Improvements and modifications should also be regarded as the protection scope of the embodiments of this specification.
S100-S104‧‧‧步驟
S200-S206‧‧‧步驟
301‧‧‧判斷模組
302‧‧‧第一處理模組
303‧‧‧第二處理模組
304‧‧‧等級評定模組
305‧‧‧調整模組
401‧‧‧接收模組
402‧‧‧起訴證據識別模組
403‧‧‧發送模組
404‧‧‧應訴證據識別模組
405‧‧‧第一修正模組
406‧‧‧第二修正模組
1010‧‧‧處理器
1020‧‧‧記憶體
1030‧‧‧輸入/輸出介面
1040‧‧‧通訊介面
1050‧‧‧匯流排S100-S104‧‧‧Step
S200-S206‧‧‧Step
301‧‧‧
為了更清楚地說明本說明書實施例或現有技術中的技術方案，下面將對實施例或現有技術描述中所需要使用的附圖作簡單地介紹，顯而易見地，下面描述中的附圖僅僅是本說明書實施例中記載的一些實施例，對於本領域普通技術人員來講，還可以根據這些附圖獲得其他的附圖。 圖1是本說明書實施例提供的一種基於區塊鏈存證的識別證據真實性的方法的流程示意圖； 圖2是本說明書實施例提供的一種基於區塊鏈存證的識別雙方證據真實性的方法的流程示意圖； 圖3是本說明書實施例提供的一種基於區塊鏈存證的識別證據真實性的裝置的結構示意圖； 圖4是本說明書實施例提供的一種基於區塊鏈存證的識別雙方證據真實性的裝置的結構示意圖； 圖5是用於配置本說明書實施例方法的一種電腦設備的結構示意圖。In order to more clearly describe the technical solutions in the embodiments of this specification or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the drawings in the following description are merely present For some of the embodiments described in the embodiments of the specification, for those of ordinary skill in the art, other drawings may be obtained from these drawings. Fig. 1 is a schematic flow chart of a method for identifying the authenticity of evidence based on blockchain depository provided by an embodiment of this specification; FIG. 2 is a schematic flowchart of a method for identifying the authenticity of evidence between two parties based on blockchain depository evidence provided by an embodiment of this specification; FIG. 3 is a schematic structural diagram of a device for identifying the authenticity of evidence based on blockchain deposits provided by an embodiment of this specification; FIG. 4 is a schematic structural diagram of a device for identifying the authenticity of evidence from both parties based on blockchain deposits provided by an embodiment of this specification; Fig. 5 is a schematic structural diagram of a computer device for configuring the method of the embodiment of this specification.
Claims (19)
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| CN109345061B (en) * | 2018-08-21 | 2020-12-29 | 创新先进技术有限公司 | Method and device for identifying authenticity of evidence based on block chain evidence storage |
| CN111899097B (en) * | 2018-12-28 | 2023-10-27 | 创新先进技术有限公司 | Method and system for accepting blockchain certification transaction |
| CN110188697A (en) * | 2019-05-31 | 2019-08-30 | 山东省计算中心（国家超级计算济南中心） | A kind of fingerprint recognition management system and method based on block chain |
| CN110598478B (en) * | 2019-09-19 | 2024-06-07 | 腾讯科技（深圳）有限公司 | Block chain-based evidence verification method, device, equipment and storage medium |
| US11868911B1 (en) * | 2020-03-05 | 2024-01-09 | American Express Travel Related Services Company, Inc. | Distributed ledger based machine-learning model management |
| CN114661657A (en) * | 2022-03-15 | 2022-06-24 | 深圳海规网络科技有限公司 | Material evidence management method and device, computer equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105975868A (en) * | 2016-04-29 | 2016-09-28 | 杭州云象网络技术有限公司 | Block chain-based evidence preservation method and apparatus |
| CN107819777A (en) * | 2017-11-17 | 2018-03-20 | 北京亿生生网络科技有限公司 | A kind of data based on block chain technology deposit card method and system |
| US20180082290A1 (en) * | 2016-09-16 | 2018-03-22 | Kountable, Inc. | Systems and Methods that Utilize Blockchain Digital Certificates for Data Transactions |
| CN107888375A (en) * | 2017-11-08 | 2018-04-06 | 深圳市携网科技有限公司 | A kind of electronic evidence safety system and method based on block chain technology |
| CN108154400A (en) * | 2018-01-11 | 2018-06-12 | 杭州秘猿科技有限公司 | The evaluation method and system of e-commerce based on block chain |
| CN207504911U (en) * | 2017-11-17 | 2018-06-15 | 北京亿生生网络科技有限公司 | A kind of data deposit system based on block chain technology |
| TWI629658B (en) * | 2017-05-08 | 2018-07-11 | 富邦金融控股股份有限公司 | Know your customer (kyc) data sharing system based on smart contract on blockchain and method thereof |
Family Cites Families (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPS6063055A (en) * | 1983-09-16 | 1985-04-11 | 小林製薬株式会社 | Continuous moloding of aromatic plaster molded body |
| US7849030B2 (en) * | 2006-05-31 | 2010-12-07 | Hartford Fire Insurance Company | Method and system for classifying documents |
| US20070283158A1 (en) * | 2006-06-02 | 2007-12-06 | Microsoft Corporation Microsoft Patent Group | System and method for generating a forensic file |
| US20130282810A1 (en) | 2012-04-24 | 2013-10-24 | Samuel Lessin | Evaluating claims in a social networking system |
| WO2014081711A1 (en) * | 2012-11-20 | 2014-05-30 | Utility Associates, Inc | System and method for securely distributing legal evidence |
| WO2015175722A1 (en) * | 2014-05-13 | 2015-11-19 | Nant Holdings Ip, Llc | Healthcare transaction validation via blockchain proof-of-work, systems and methods |
| US20160283920A1 (en) * | 2015-03-28 | 2016-09-29 | Justin Fisher | Authentication and verification of digital data utilizing blockchain technology |
| US10037537B2 (en) * | 2016-02-19 | 2018-07-31 | Alitheon, Inc. | Personal history in track and trace system |
| CN106204287A (en) | 2016-07-18 | 2016-12-07 | 上海仲托网络科技有限公司 | Mutual insurance based on block chain and help each other guarantee operation method and system |
| CN106357612B (en) * | 2016-08-25 | 2019-07-16 | 江苏通付盾科技有限公司 | Authentication record checking method and device based on publicly-owned block chain |
| CN107967416B (en) | 2016-10-19 | 2021-07-09 | 华为技术有限公司 | Copyright right-maintaining detection method, device and system |
| WO2018120129A1 (en) | 2016-12-30 | 2018-07-05 | 深圳前海达闼云端智能科技有限公司 | Data query method, device and node apparatus |
| CN106877998B (en) | 2017-01-11 | 2020-06-19 | 裘羽 | Electronic evidence management method and system |
| US11468439B2 (en) | 2017-01-12 | 2022-10-11 | American Express Travel Related Services Company, Inc. | Systems and methods for blockchain based proof of payment |
| JP6340107B1 (en) | 2017-04-10 | 2018-06-06 | アイビーシー株式会社 | Electronic certification system |
| TWM555500U (en) | 2017-09-05 | 2018-02-11 | Trade Van Information Services Co | Info-security joint defense system |
| CN108011945A (en) * | 2017-11-30 | 2018-05-08 | 公安部第三研究所 | A kind of cloud evidence obtaining process record method and system based on block chain |
| US10796393B2 (en) * | 2018-03-14 | 2020-10-06 | Motorola Solutions, Inc. | System for validating and appending incident-related data records in an inter-agency distributed electronic ledger |
| CN109255628A (en) | 2018-08-21 | 2019-01-22 | 阿里巴巴集团控股有限公司 | A kind of method and device of identification both sides' real evidence for depositing card based on block chain |
| CN109345061B (en) * | 2018-08-21 | 2020-12-29 | 创新先进技术有限公司 | Method and device for identifying authenticity of evidence based on block chain evidence storage |
-
2018
- 2018-08-21 CN CN201810955485.8A patent/CN109345061B/en active Active
-
2019
- 2019-03-13 TW TW108108449A patent/TWI700606B/en active
- 2019-05-29 WO PCT/CN2019/089000 patent/WO2020038036A1/en active Application Filing
- 2019-05-29 EP EP19853116.2A patent/EP3779816A4/en not_active Withdrawn
- 2019-05-29 SG SG11202010508VA patent/SG11202010508VA/en unknown
-
2020
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Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105975868A (en) * | 2016-04-29 | 2016-09-28 | 杭州云象网络技术有限公司 | Block chain-based evidence preservation method and apparatus |
| US20180082290A1 (en) * | 2016-09-16 | 2018-03-22 | Kountable, Inc. | Systems and Methods that Utilize Blockchain Digital Certificates for Data Transactions |
| TWI629658B (en) * | 2017-05-08 | 2018-07-11 | 富邦金融控股股份有限公司 | Know your customer (kyc) data sharing system based on smart contract on blockchain and method thereof |
| CN107888375A (en) * | 2017-11-08 | 2018-04-06 | 深圳市携网科技有限公司 | A kind of electronic evidence safety system and method based on block chain technology |
| CN107819777A (en) * | 2017-11-17 | 2018-03-20 | 北京亿生生网络科技有限公司 | A kind of data based on block chain technology deposit card method and system |
| CN207504911U (en) * | 2017-11-17 | 2018-06-15 | 北京亿生生网络科技有限公司 | A kind of data deposit system based on block chain technology |
| CN108154400A (en) * | 2018-01-11 | 2018-06-12 | 杭州秘猿科技有限公司 | The evaluation method and system of e-commerce based on block chain |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109345061A (en) | 2019-02-15 |
| CN109345061B (en) | 2020-12-29 |
| TW202009771A (en) | 2020-03-01 |
| EP3779816A1 (en) | 2021-02-17 |
| EP3779816A4 (en) | 2021-05-19 |
| US11551319B2 (en) | 2023-01-10 |
| WO2020038036A1 (en) | 2020-02-27 |
| US20200357086A1 (en) | 2020-11-12 |
| SG11202010508VA (en) | 2020-11-27 |
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